The Journal of Korean Institute of Information Technology (한국정보기술학회논문지)

Korean Institute of Information Technology (한국정보기술학회)
권호 표지
DOI QR코드

DOI QR Code

Perspective Transformation using Top-view Parking Assistance System

투시변환을 이용한 탑뷰 주차 지원 시스템

  • Kim, Ji-In (Dept. of Information and Communication Engineering, Chosun University) ;
  • Kwon, Goo-Rak (Dept. of Information and Communication Engineering, Chosun University)
  • 김지인 (조선대학교 정보통신공학과) ;
  • 권구락 (조선대학교 정보통신공학과)
  • Received : 2014.05.08
  • Accepted : 2014.06.16
  • Published : 2014.07.31
⟨ Previous Next ⟩

Abstract

A variety of parking assistance systems are being developed for the general drivers and the expert drivers having problem associated with parking. In this paper, perspective transformation using Top-view parking assistance system methods for covers. Top view parking assistance system uses (Top-view) video that helps driver to park vehicle easily and conveniently. The obtained image is removed except the ground after the system can be received before/after/left/right images in real time. Throughout the proposed perspective transformation, we perform the perspective projection and to calculate the value of matrix transformation with obtained image. And we product the top-view image by each image with the perspective projection. Finally, we confirm the top-view display of vehicle in top-view parking system and improve the convenience of a driver while parking by obtaining around images of vehicle.

초보 운전자와 숙련 운전자들에게 있어서 주차 문제를 개선하기 위한 다양한 주차 지원 시스템이 개발되고 있다. 본 논문에서는 투시변환을 이용한 탑뷰 주차 지원 시스템에 대한 방법을 다루고 있다. 탑뷰 주차 지원시스템은 탑뷰(Top-view) 영상을 이용하여 운전자들을 도와 주차를 할 때 쉽고 편리하게 한다. 실시간으로 차량의 전 후 좌 우의 영상을 전달받아 필요한 지면을 제외한 영상부분을 잘라낸다. 잘라낸 영상을 본 논문에서 제안하는 투시변환을 통하여 영상의 변환 행렬 값을 계산하고 원근 투영을 한다. 원근 투영으로 만들어진 각각의 탑뷰 영상을 정합하여 주차를 할 때 자동차 주위를 디스플레이 하고 차량 주변의 영상을 획득하여 주차시의 운전자의 편의성을 개선한다.

Keywords

Acknowledgement

Supported by : 한국연구재단, 정보통신산업진흥원

References

  1. Resen Ahn, Linbo Luo, and Jongwha Chong, "Real-Time Implementation of Top-view System for Camera-on-vehicle", Journal of The Institute of Electronics And Information Engineers, Vol. 33, Issue 1, pp. 1219-1222, June 2010.
  2. Kiyong Lee and Joonwoong Lee, "Stereo Top-view Image based Generic Obstacle Detecction of Road Images", Journal of The Korean Society Of Automotive Engineers, Issue 1, pp. 537-543, Nov. 2003.
  3. Alberto Broggi, "Robust Real-Time Lane and Road Detection in Critical Shadow Conditions", International Symposium on Computer Vision, IEEE, pp. 353-358, Nov. 1995.
  4. Richard Hartley and Andrew Zisserman, "Multiple View Geometry in Computer Vision", Cambridge University Press, 2003.
  5. Byungwook Woo, Youngjoong Kim, Jinhyung Kim, Kwangwook Lee, Minsun Hong, Shangmoon Yoon, Namsook Park, Geonkyu Park, Sungjea Ko, and Myotaeg Lim, "Image processing for a top-view based parking assistance system", Conference on Korean Institute Of Electrical Engineers, Issue 1, pp. 274-275, Aug. 2008.
  6. Sungji Han, Youngjoon Han, and Hernsoo Hahn, "Lane and Curvature Detection Algorithm based on the Curve Template Matching Method using Top View Image", Journal of The Institute of Electronics And Information Engineers, Vol. 47, Issue 6, pp. 97-106, Nov. 2010.
  7. Claudio Rosito Jung and Christian Roberto Kelber, "A Lane Departure Warning System Using Lateral Offset with Uncalibrated Camera", Conference on Intelligent Transportation Systems, IEEE, pp. 102-107, Sep. 2005.
  8. Jan Sparbert, Klaus Dietmayer, and Daniel Streller, "Lane Detection and Street Type Classification using Laser Range Images", Conference on Intelligent Transportation Systems, IEEE, pp. 454-459, Aug. 2001.
  9. Youngmin Kim, Heejung Kang, and Sangwoo Bang, "A Study on Autonomous-Parking System Using Image Data", Journal of KIIT, Vol. 8, Issue 5, pp. 21-28, May 2010.